Reliability Modelling and Analysis in Discrete Time
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2018
- Softcover
- New

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Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper.…
Seller Inventory # LU-9780128019139
- Title
- Reliability Modelling and Analysis in Discrete Time
- Author
- Unnikrishnan Nair, P.G. Sankaran, N. Balakrishnan
- Publisher
- Elsevier Science Publishing Co Inc, US
- Publication year
- 2018
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0128019131
- ISBN 13
- 9780128019139
- Item weight
- 790 grams
Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding.
Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper.
"Synopsis" may belong to another edition of this title.
About the Author
P.G. Sankaran received his Ph.D. from Cochin University of Science and Technology (CUSAT), India. He was Professor and Chair of Department of Statistics,CUSAT . Presently, he is the Pro Vice Chancellor of CUSAT. He was awarded BOYSCAST Fellowship of the Department of Science and Technology, Government of India in 2000. He is a member of the International Statistical Institute and was the Executive Council of International Society for Business and Industrial Statistics. His commendations include the Young Researcher Award of International Indian Statistical Association (IISA) in 2010, and his output encompasses 130 research papers and three books published by Springer, Birkauser, Education Book Distributors and the Department of Statistics at Cochin.
Professor Narayanaswamy Balakrishnan is a Distinguished University Professor at McMaster University Hamilton, Ontario, Canada. He has been a visiting professor in many universities across the world. Balakrishnan is a renowned expert on statistical distributions and his four-volume reference series on this topic, co-authored with Professors Norman Johnson and Samuel Kotz, continue to serve as an extensive guide for researchers working on statistical distribution theory. He is currently the Editor-in-Chief of Communications in Statistics, and is an editorial board member for a number of journals. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and he received an Honorary Doctorate Degree from the National University of Athens, Greece.
"About the title" may belong to another edition of this title.
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